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Copy file name to clipboardExpand all lines: tck/README.md
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@@ -10,11 +10,11 @@ The TCK is implemented using **plain Java (1.6)** and **TestNG** tests, and shou
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The TCK aims to cover all rules defined in the Specification, however for some rules outlined in the Specification it is
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not possible (or viable) to construct automated tests, thus the TCK does not claim to completely verify an implementation, however it is very helpful and is able to validate the most important rules.
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The TCK is split up into 4 files JUnit 4 test classes which should be extended by implementers, providing their `Publisher` / `Subscriber` implementations for the test harness to validate them. The tests are split in the following way:
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The TCK is split up into 4 TestNG test classes which should be extended by implementers, providing their `Publisher` / `Subscriber` implementations for the test harness to validate them. The tests are split in the following way:
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*`PublisherVerification`
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*`SubscriberBlackboxVerification`
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*`SubscriberWhiteboxVerification`
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*`SubscriberBlackboxVerification`
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*`IdentityProcessorVerification`
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The next sections include examples on how these can be used and describe the various configuration options.
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Please refer to the [Reactive Streams Specification](https://github.com/reactive-streams/reactive-streams) for the current latest version number. Make sure that the API and TCK dependency versions are equal.
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### Types of tests
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### Test method naming convention
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Since the TCK is aimed at Reactive Stream implementers, looking into the sources of the TCK is well expected,
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and should help during a libraries implementation cycle.
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In order to make mapping between test cases and Specification rules easier, each test case covering a specific
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Specification rule abides the following naming convention: `spec###_DESC` where:
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Specification rule abides the following naming convention: `TYPE_spec###_DESC` where:
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*`TYPE` is one of: [#type-required](required), [#type-optional](optional), [#type-stochastic](stochastic) or [#type-untested](untested) which describe if this test is covering a Rule that MUST or SHOULD be implemented. The specific words are explained in detail below.
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*`###` is the Rule number (`1.xx` Rules are about Publishers, `2.xx` Rules are about Subscribers etc.)
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*`DESC` is a short explanation of what exactly is being tested in this test case, as sometimes one Rule may have multiple test cases in order to cover the entire Rule.
The prefixes of the names of the test methods are used in order to signify the character of the test. For example, these are the kinds of prefixes you may find:
... means that the Rule is either racy, and/or inherently hard to verify without heavy modification of the tested implementation. Usually this means that this test case can yield false positives ("be green") even if for some case, the given implementation may violate the tested behaviour.
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<aname="type-stochastic"></a>
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The `stochastic_` means that the Rule is either racy, and/or inherently hard to verify without heavy modification of the tested implementation.
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Usually this means that this test case can yield false positives ("be green") even if for some case, the given implementation may violate the tested behaviour.
... means that the test case is not implemented, either because it is inherently hard to verify (e.g. Rules which use the wording "*SHOULD consider X as Y*") or have not been implemented yet (though we hope we have implemented all we could!). Such tests will show up in your test runs as `SKIPPED`, with a message pointing out that the TCK is unable to validate this Rule. We would be delighted if you can figure out a way to deterministically test Rules, which have been marked with this prefix – pull requests are very welcome!
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<aname="type-untested"></a>
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The `untested_` means that the test case is not implemented, either because it is inherently hard to verify (e.g. Rules which use
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the wording "*SHOULD consider X as Y*") or have not been implemented yet (though we hope we have implemented all we
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could!). Such tests will show up in your test runs as `SKIPPED`, with a message pointing out that the TCK is unable to
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validate this Rule. We would be delighted if you can figure out a way to deterministically test Rules, which have been
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marked with this prefix – pull requests are very welcome!
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### Test isolation
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Notable configuration options include:
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*`maxElementsFromPublisher` – which should only be overridden in case the Publisher under test is not able to provide arbitrary length streams, e.g. it's wrapping a `Future<T>` and thus can only publish up to 1 element. In such case you should return `1` from this method. It will cause all tests which require more elements in order to validate a certain Rule to be skipped,
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*`boundedDepthOfOnNextAndRequestRecursion` – which should only be overridden in case of synchronous Publishers. This number will be used to validate if a
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`Subscription` actually solves the "unbounded recursion" problem (Rule 3.3).
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*`maxElementsFromPublisher` – which should only be overridden in case the Publisher under test is not able to provide
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arbitrary length streams, e.g. it's wrapping a `Future<T>` and thus can only publish up to 1 element. In such case you
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should return `1` from this method. It will cause all tests which require more elements in order to validate a certain
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Rule to be skipped,
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*`boundedDepthOfOnNextAndRequestRecursion` – which should only be overridden in case of synchronous Publishers.
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This number will be used to validate if a `Subscription` actually solves the "unbounded recursion" problem (Rule 3.3).
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### Timeout configuration
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Publisher tests make use of two kinds of timeouts, one is the `defaultTimeoutMillis` which corresponds to all methods used
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within the TCK which await for something to happen. The other timeout is `publisherReferenceGCTimeoutMillis` which is only used in order to verify
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[Rule 3.13](https://github.com/reactive-streams/reactive-streams#3.13) which defines that subscriber references MUST be dropped
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[Rule 3.13](https://github.com/reactive-streams/reactive-streams#3.13) which defines that subscriber references dropped
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by the Publisher.
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In order to configure these timeouts (for example when running on a slow continious integtation machine), you can either:
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threads, so in case of more complicated implementations, please be aware of this fact.
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**Very Advanced**: While we do not expect many implementations having to do so, it is possible to take full control of the `Publisher`
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which will be driving the TCKs test. You can do this by implementing the `createHelperPublisher` method in which you can implement your
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which will be driving the TCKs test. This can be achieved by implementing the `createHelperPublisher` method in which you can implement your
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own Publisher which will then be used by the TCK to drive your Subscriber tests:
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```java
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We keep the whitebox verification, as it is tremendously useful in the `ProcessorVerification`, where the Puppet is implemented within the TCK and injected to the tests.
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We do not expect all implementations to make use of the plain `SubscriberWhiteboxVerification`, using the `SubscriberBlackboxVerification` instead.
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For the simplest possible (and most common) `Subscriber` implementation using the whitebox verification boils down to
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exteding (or delegating to) your implementation with additionally signalling and registering the test probe, as shown in the below example:
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Instrumenting a simple synchronous `Subscriber` should look similar to following example, in which we extend the implementation we want to test, and inject the required `probe` triggering where needed:
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```java
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packagecom.example.streams;
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super(newTestEnvironment());
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}
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// The implementation under test is "SyncSubscriber":
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// class SyncSubscriber<T> extends Subscriber<T> { /* ... */ }
notVerified("Unable to implement test because ...");
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@Override
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publicPublisher<Integer>createFailedPublisher() {
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returnnull; // returning null means that the tests validating a failed publisher will be skipped
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}
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}
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```
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## Upgrade story
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## Upgrading the TCK to newer versions
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While we do not expect the Reactive Streams specification to change in the forseeable future,
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it *may happen* that some semantics may need to change at some point. In this case you should expect test
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methods being phased out in terms of deprecation or removal, new tests may also be added over time.
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**TODO** - What is our story about updating the TCK? How do we make sure that implementations don't accidentally miss some change in the spec, if the TCK is unable to fail verify the new behavior? Comments are very welcome, discussion about this is under-way in [Issue #99 – TCK Upgrade Story](https://github.com/reactive-streams/reactive-streams/issues/99).
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In general this should not be of much concern, unless overriding test methods in your test suite.
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We ask implementers who find the need of overriding provided test methods to reach out via opening tickets
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on the `reactive-streams/reactive-streams-jvm` project, so we can discuss the use case and, most likely, improve the TCK.
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## Using the TCK from other languages
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Contributions to this document are very welcome!
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If you're implementing reactive streams using the TCK in some language, please feel free to share an example on how to best use it from your language of choice.
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When implementing Reactive Streams using the TCK in some language, please feel free to share an example on how to best use it from your language of choice.
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